Staff Augmentation
AI Infrastructure Staff Augmentation
Get a predictable monthly capacity of a pre-vetted AI Infrastructure Engineer
- 4.9/5 on Clutch
- 7 of every 1,000 hired from our vetting pipeline
- Billed by the hour, no lock-in
The calm after the pager stops.
Your AI Infrastructure, in steady hands.
Trusted by teams shipping production infrastructure
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The hard part
Senior AI Infrastructure help is hard to get for the hours you actually need
Hiring a strong AI Infrastructure engineer is slow, risky, and expensive, and most teams do not need one full time. Here is what that trade-off usually costs.
Months of searching for someone who genuinely knows AI Infrastructure, not a generalist who lists it.
A full-time salary for work that is honestly part-time most of the year.
Advice with no hands from agencies that write decks but never touch your systems.
Debt that compounds while AI Infrastructure work sits half-finished between sprints.
A stalled roadmap every time AI Infrastructure lands on a desk that was not built for it.
From first message to shipped AI Infrastructure work
Starting is light and reversible. You see the plan and meet your engineer before a single hour is billed. Here is the whole path.
- 1
Tell us what you need
A short call to understand your current AI Infrastructure setup, the constraints, and the result you are after.
- 2
We shape the plan
You get a written AI Infrastructure work plan: the approach, the trade-offs, and the first steps, shaped around your input.
- 3
Meet your engineer
We match you with the senior engineer best suited to your AI Infrastructure work. No hour is billed before this.
- 4
We do the work
Your engineer joins the team, ships the hands-on AI Infrastructure work, and keeps consulting you at every step.
Runs throughout, start to finish
- Shared Slack channelWhere we update and discuss the work, day to day.
- Weekly syncsA standing cadence to review progress, blockers, and next steps, with a written summary.
- Pay as you goUse as many hours as you need. No retainer, no lock-in.
- Free architect inputAn architect from our team joins the discussions to enrich the plan, at no charge.
A conversation first. You decide whether to go further.
What AI Infrastructure actually covers
AI infrastructure is the plumbing around the model: the data, training, serving, and monitoring that make a model usable in production.
Get DevOps engineers experienced with AI Infrastructure to join your team and support your AI efforts
An ML platform, end to end
- Data
Pipelines that feed clean, versioned data.
- Train
Reproducible jobs on scalable compute.
- Serve
Low-latency inference behind stable APIs.
- Retrieve
Vector search and context for production models.
- Monitor
Track drift, cost, and latency over time.
Tools our AI Infrastructure engineers reach for
Everything in our AI Infrastructure service
Consulting and hands-on work from the same senior engineer, billed by the hour.
A senior AI Infrastructure expert advising you
We hire 7 engineers out of every 1,000 we vet, so you get the top 0.7% of AI Infrastructure experts.
A plan that fits your company
A flexible process turns your goals into a custom AI Infrastructure work plan built around your requirements.
You pay only for the hours worked
Use as many hours as you like, zero, a hundred, or a thousand. It is completely flexible.
The same expert does the hands-on work
Our service goes past advice: the person consulting you joins your team and does the hands-on work.
Perspective from many AI Infrastructure setups
Our experts have worked with many companies and seen plenty of AI Infrastructure setups, so they bring real perspective on yours.
An architect's input on the big decisions
On top of your AI Infrastructure expert, an architect from our team joins the discussions to enrich the plan.
Choose how we work together
The same senior AI Infrastructure engineers, on the commitment that fits. Switch, pause, or resize as your needs change.
- ExploreConsultingAdvisory
Opinions, reviews, and spike capacity.
- ExploreOutsourcingDelivery
Roadmaps with a clear exit.
- DetailsStaff AugmentationEmbeddedYou are here
Ongoing capacity in your channels.
- You need a senior in Slack within days
- You want steady hours without a full-time hire
- You need pause or resize with short notice
- ExploreComplianceCompliance
Evidence trails alongside engineering.
- ExploreSolutionsProject
Plan first, build to a milestone.
- ExploreSupportCare
Hygiene, releases, and team enablement.
- ExploreOn-Call SupportOn-call
Incidents, rotations, wake windows.
Teams that stopped firefighting
The same senior engineers, on real production work. A recent study, and what clients say once the dust settles.
Import multiple high-scale Kubernetes Clusters into Pulumi
How we organized infrastructure management of a high-scale system in the cloud by utilizing Pulumi and standardizing environment creation
- Pulumi
- Kubernetes
- TypeScript
Thanks to MeteorOps, infrastructure changes have been completed without any errors. They provide excellent ideas, manage tasks efficiently, and deliver on time. They communicate through virtual meetings, email, and a messaging app. Overall, their experience in Kubernetes and AWS is impressive.
Mike OssarehVP of Software, ErisyonGood consultants execute on task and deliver as planned. Better consultants overdeliver on their tasks. Great consultants become full technology partners and provide expertise beyond their scope. I am happy to call MeteorOps my technology partners as they overdelivered, provide high-level expertise and I recommend their services as a very happy customer.
Gil ZellnerInfrastructure Lead, HourOne AI
Where to go next
Other ways to engage AI Infrastructure
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Questions before you bring in a AI Infrastructure engineer
01How does pricing work?
You pay for engineering time, not an opaque package. We can bill monthly for actual hours, use a prepaid hours bank, or reserve steady monthly capacity. Before work starts, we explain the rate, expected shape, and what could change it.
02Do we meet the engineer before committing?
Yes. You meet the engineer proposed for the work and can assess the technical and working fit yourself. The person introduced is the person expected to join your channels and do the work.
03Is this AI Infrastructure advice or hands-on implementation?
Both. The same senior engineer can assess the system, explain the trade-offs, and implement the agreed changes. We do not separate a strategy team from a delivery team unless the work genuinely needs another specialist.
04How will we see progress and hours?
Work happens in your normal tools and communication channels. You get regular working updates and a detailed hour log describing where billed time went, so progress is visible before the invoice arrives.
05What happens when priorities change?
You can redirect the staff augmentation engagement as the production reality changes. We will explain the consequence for timing and hours, then work from the priority you choose instead of starting a scope-change negotiation.
06Can we start with something small?
Yes. A focused review, decision, or small implementation is often the best first engagement. You can evaluate the engineer and the working model before expanding the scope or monthly capacity.
